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| apple data engineer interview: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| apple data engineer interview: Cracking the PM Interview Gayle Laakmann McDowell, Jackie Bavaro, 2013 How many pizzas are delivered in Manhattan? How do you design an alarm clock for the blind? What is your favorite piece of software and why? How would you launch a video rental service in India? This book will teach you how to answer these questions and more. Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named PM (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the interview: estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important pitch. |
| apple data engineer interview: System Design Interview - An Insider's Guide Alex Xu, 2020-06-12 The system design interview is considered to be the most complex and most difficult technical job interview by many. Those questions are intimidating, but don't worry. It's just that nobody has taken the time to prepare you systematically. We take the time. We go slow. We draw lots of diagrams and use lots of examples. You'll learn step-by-step, one question at a time.Don't miss out.What's inside?- An insider's take on what interviewers really look for and why.- A 4-step framework for solving any system design interview question.- 16 real system design interview questions with detailed solutions.- 188 diagrams to visually explain how different systems work. |
| apple data engineer interview: The Google Resume Gayle Laakmann McDowell, 2011-01-25 The Google Resume is the only book available on how to win a coveted spot at Google, Microsoft, Apple, or other top tech firms. Gayle Laakmann McDowell worked in Google Engineering for three years, where she served on the hiring committee and interviewed over 120 candidates. She interned for Microsoft and Apple, and interviewed with and received offers from ten tech firms. If you’re a student, you’ll learn what to study and how to prepare while in school, as well as what career paths to consider. If you’re a job seeker, you’ll get an edge on your competition by learning about hiring procedures and making yourself stand out from other candidates. Covers key concerns like what to major in, which extra-curriculars and other experiences look good, how to apply, how to design and tailor your resume, how to prepare for and excel in the interview, and much more Author was on Google’s hiring committee; interned at Microsoft and Apple; has received job offers from more than 10 tech firms; and runs CareerCup.com, a site devoted to tech jobs Get the only comprehensive guide to working at some of America’s most dynamic, innovative, and well-paying tech companies with The Google Resume. |
| apple data engineer interview: An Elegant Puzzle Will Larson, 2019-05-20 A human-centric guide to solving complex problems in engineering management, from sizing teams to handling technical debt. There’s a saying that people don’t leave companies, they leave managers. Management is a key part of any organization, yet the discipline is often self-taught and unstructured. Getting to the good solutions for complex management challenges can make the difference between fulfillment and frustration for teams—and, ultimately, between the success and failure of companies. Will Larson’s An Elegant Puzzle focuses on the particular challenges of engineering management—from sizing teams to handling technical debt to performing succession planning—and provides a path to the good solutions. Drawing from his experience at Digg, Uber, and Stripe, Larson has developed a thoughtful approach to engineering management for leaders of all levels at companies of all sizes. An Elegant Puzzle balances structured principles and human-centric thinking to help any leader create more effective and rewarding organizations for engineers to thrive in. |
| apple data engineer interview: Build a Career in Data Science Emily Robinson, Jacqueline Nolis, 2020-03-24 Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder |
| apple data engineer interview: The Data Warehouse Toolkit Ralph Kimball, Margy Ross, 2011-08-08 This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts. |
| apple data engineer interview: Data Structures and Algorithms in Python Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser, 2013-06-17 Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python's conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects. |
| apple data engineer interview: High Performance Browser Networking Ilya Grigorik, 2013-09-11 How prepared are you to build fast and efficient web applications? This eloquent book provides what every web developer should know about the network, from fundamental limitations that affect performance to major innovations for building even more powerful browser applications—including HTTP 2.0 and XHR improvements, Server-Sent Events (SSE), WebSocket, and WebRTC. Author Ilya Grigorik, a web performance engineer at Google, demonstrates performance optimization best practices for TCP, UDP, and TLS protocols, and explains unique wireless and mobile network optimization requirements. You’ll then dive into performance characteristics of technologies such as HTTP 2.0, client-side network scripting with XHR, real-time streaming with SSE and WebSocket, and P2P communication with WebRTC. Deliver superlative TCP, UDP, and TLS performance Speed up network performance over 3G/4G mobile networks Develop fast and energy-efficient mobile applications Address bottlenecks in HTTP 1.x and other browser protocols Plan for and deliver the best HTTP 2.0 performance Enable efficient real-time streaming in the browser Create efficient peer-to-peer videoconferencing and low-latency applications with real-time WebRTC transports |
| apple data engineer interview: The IOS Interview Guide Alex Bush, 2017-05-31 |
| apple data engineer interview: Making Embedded Systems Elecia White, 2011-10-25 Interested in developing embedded systems? Since they donâ??t tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate a host of good development practices, based on classic software design patterns and new patterns unique to embedded programming. Learn how to build system architecture for processors, not operating systems, and discover specific techniques for dealing with hardware difficulties and manufacturing requirements. Written by an expert whoâ??s created embedded systems ranging from urban surveillance and DNA scanners to childrenâ??s toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. Optimize your system to reduce cost and increase performance Develop an architecture that makes your software robust in resource-constrained environments Explore sensors, motors, and other I/O devices Do more with less: reduce RAM consumption, code space, processor cycles, and power consumption Learn how to update embedded code directly in the processor Discover how to implement complex mathematics on small processors Understand what interviewers look for when you apply for an embedded systems job Making Embedded Systems is the book for a C programmer who wants to enter the fun (and lucrative) world of embedded systems. Itâ??s very well writtenâ??entertaining, evenâ??and filled with clear illustrations. â??Jack Ganssle, author and embedded system expert. |
| apple data engineer interview: Creative Selection Ken Kocienda, 2018-09-04 * WALL STREET JOURNAL BESTSELLER * An insider's account of Apple's creative process during the golden years of Steve Jobs. Hundreds of millions of people use Apple products every day; several thousand work on Apple's campus in Cupertino, California; but only a handful sit at the drawing board. Creative Selection recounts the life of one of the few who worked behind the scenes, a highly-respected software engineer who worked in the final years of the Steve Jobs era—the Golden Age of Apple. Ken Kocienda offers an inside look at Apple’s creative process. For fifteen years, he was on the ground floor of the company as a specialist, directly responsible for experimenting with novel user interface concepts and writing powerful, easy-to-use software for products including the iPhone, the iPad, and the Safari web browser. His stories explain the symbiotic relationship between software and product development for those who have never dreamed of programming a computer, and reveal what it was like to work on the cutting edge of technology at one of the world's most admired companies. Kocienda shares moments of struggle and success, crisis and collaboration, illuminating each with lessons learned over his Apple career. He introduces the essential elements of innovation—inspiration, collaboration, craft, diligence, decisiveness, taste, and empathy—and uses these as a lens through which to understand productive work culture. An insider's tale of creativity and innovation at Apple, Creative Selection shows readers how a small group of people developed an evolutionary design model, and how they used this methodology to make groundbreaking and intuitive software which countless millions use every day. |
| apple data engineer interview: Are You Smart Enough to Work at Google? William Poundstone, 2012-01-04 You are shrunk to the height of a nickel and thrown in a blender. The blades start moving in 60 seconds. What do you do? If you want to work at Google, or any of America's best companies, you need to have an answer to this and other puzzling questions. Are You Smart Enough to Work at Google? guides readers through the surprising solutions to dozens of the most challenging interview questions. The book covers the importance of creative thinking, ways to get a leg up on the competition, what your Facebook page says about you, and much more. Are You Smart Enough to Work at Google? is a must-read for anyone who wants to succeed in today's job market. |
| apple data engineer interview: Advanced Swift Chris Eidhof, Airspeed Velocity, 2016-03-18 Advanced Swift takes you through Swift's features, from low-level programming to high-level abstractions. In this book, we'll write about advanced concepts in Swift programming. If you have read the Swift Programming Guide, and want to explore more, this book is for you. Swift is a great language for systems programming, but also lends itself for very high-level programming. We'll explore both high-level topics (for example, programming with generics and protocols), as well as low-level topics (for example, wrapping a C library and string internals). |
| apple data engineer interview: 500 Machine Learning (ML) Interview Questions and Answers Vamsee Puligadda, Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get rejected in interviews by preparing only concepts but not focusing on actually which questions will be asked in the interview? Don't be that person this time. This is the most comprehensive Machine Learning (ML) interview questions book that you can ever find out. It contains: 500 most frequently asked and important Machine Learning (ML) interview questions and answers Wide range of questions which cover not only basics in Machine Learning (ML) but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews. |
| apple data engineer interview: Seize The Yay Sarah Davidson, 2020-09-01 A savvy, uplifting business and life guide for entrepreneurial millennials seeking to find their yay - from the Founder of Matcha Maiden, Match Mylkbar and the Seize the Yay podcast 'One of the hardest workers you're likely to meet. As a big-hearted and generous entrepreneur, we'd be wise to take her advice.' - Emma Isaacs, Business Chicks 'Like a best friend in your pocket... the essential go-to for every human in this modern, fast-paced world.' - Lisa Messenger, Founder & Editor-in-Chief, Collective Hub Kick goals in your business or career and find happiness and fulfilment in the process - Seize The Yay shows you how to do both. There are so many wellness and business titles on the market focusing on success and productivity, but not many which encourage you to break that autopilot circuit of 'busy' and flip the conversation back towards what makes you yay. Entrepreneur and Co-Founder of Matcha Maiden green tea, Sarah started her first business after suffering from a case of complete adrenal exhaustion. As a young lawyer looking for a caffeine-free fix to supplement her serious coffee habit, she ordered ten kilos of tea from Japan by accident. Starting up a side hustle to shift the nine kilos of matcha she didn't need, Matcha Maiden was born. With no background in the area, business experience or investment behind them, Sarah and her partner Nic built Matcha Maiden from scratch, followed by internationally acclaimed plant-based cafe Matcha Mylkbar and, later, the chart-topping Seize the Yay podcast. Here, Sarah shows how it can be done without losing your joy or sense of appreciation for the journey. Sharing practical tips and life advice to help you realize your own career and life dreams while staying grounded and well, Seize The Yay is your one-stop shop for achieving business success. Did somebody say #lifegoals? |
| apple data engineer interview: Cracking the Tech Career Gayle Laakmann McDowell, 2014-09-15 Become the applicant Google can't turn down Cracking the Tech Career is the job seeker's guide to landing a coveted position at one of the top tech firms. A follow-up to The Google Resume, this book provides new information on what these companies want, and how to show them you have what it takes to succeed in the role. Early planners will learn what to study, and established professionals will discover how to make their skillset and experience set them apart from the crowd. Author Gayle Laakmann McDowell worked in engineering at Google, and interviewed over 120 candidates as a member of the hiring committee – in this book, she shares her perspectives on what works and what doesn't, what makes you desirable, and what gets your resume saved or deleted. Apple, Microsoft, and Google are the coveted companies in the current job market. They field hundreds of resumes every day, and have their pick of the cream of the crop when it comes to selecting new hires. If you think the right alma mater is all it takes, you need to update your thinking. Top companies, especially in the tech sector, are looking for more. This book is the complete guide to becoming the candidate they just cannot turn away. Discover the career paths that run through the top tech firms Learn how to craft the prefect resume and prepare for the interview Find ways to make yourself stand out from the hordes of other applicants Understand what the top companies are looking for, and how to demonstrate that you're it These companies need certain skillsets, but they also want a great culture fit. Grades aren't everything, experience matters, and a certain type of applicant tends to succeed. Cracking the Tech Career reveals what the hiring committee wants, and shows you how to get it. |
| apple data engineer interview: Designing Data-Intensive Applications Martin Kleppmann, 2017-03-16 Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures |
| apple data engineer interview: Ace the Data Science Interview Kevin Huo, Nick Singh, 2021 |
| apple data engineer interview: Founders at Work Jessica Livingston, 2008-11-01 Now available in paperback—with a new preface and interview with Jessica Livingston about Y Combinator! Founders at Work: Stories of Startups' Early Days is a collection of interviews with founders of famous technology companies about what happened in the very earliest days. These people are celebrities now. What was it like when they were just a couple friends with an idea? Founders like Steve Wozniak (Apple), Caterina Fake (Flickr), Mitch Kapor (Lotus), Max Levchin (PayPal), and Sabeer Bhatia (Hotmail) tell you in their own words about their surprising and often very funny discoveries as they learned how to build a company. Where did they get the ideas that made them rich? How did they convince investors to back them? What went wrong, and how did they recover? Nearly all technical people have thought of one day starting or working for a startup. For them, this book is the closest you can come to being a fly on the wall at a successful startup, to learn how it's done. But ultimately these interviews are required reading for anyone who wants to understand business, because startups are business reduced to its essence. The reason their founders become rich is that startups do what businesses do—create value—more intensively than almost any other part of the economy. How? What are the secrets that make successful startups so insanely productive? Read this book, and let the founders themselves tell you. |
| apple data engineer interview: An Illustrated Book of Bad Arguments: Learn the Lost Art of Making Sense (Bad Arguments) Ali Almossawi, 2014-09-23 “This short book makes you smarter than 99% of the population. . . . The concepts within it will increase your company’s ‘organizational intelligence.’. . . It’s more than just a must-read, it’s a ‘have-to-read-or-you’re-fired’ book.”—Geoffrey James, INC.com From the author of An Illustrated Book of Loaded Language, here’s the antidote to fuzzy thinking, with furry animals! Have you read (or stumbled into) one too many irrational online debates? Ali Almossawi certainly had, so he wrote An Illustrated Book of Bad Arguments! This handy guide is here to bring the internet age a much-needed dose of old-school logic (really old-school, a la Aristotle). Here are cogent explanations of the straw man fallacy, the slippery slope argument, the ad hominem attack, and other common attempts at reasoning that actually fall short—plus a beautifully drawn menagerie of animals who (adorably) commit every logical faux pas. Rabbit thinks a strange light in the sky must be a UFO because no one can prove otherwise (the appeal to ignorance). And Lion doesn’t believe that gas emissions harm the planet because, if that were true, he wouldn’t like the result (the argument from consequences). Once you learn to recognize these abuses of reason, they start to crop up everywhere from congressional debate to YouTube comments—which makes this geek-chic book a must for anyone in the habit of holding opinions. |
| apple data engineer interview: 模拟CMOS集成电路设计(国外大学优秀教材——微电子类系列(影印版)) Behzad Razavi, 2005 本书介绍了模拟电路设计的基本概念, 说明了CMOS模拟集成电路设计技术的重要作用, 描述了MOS器件的物理模型及工作特性等. |
| apple data engineer interview: We Are Data John Cheney-Lippold, 2017-05-02 What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline. Algorithms create and recreate us, using our data to assign and reassign our gender, race, sexuality, and citizenship status. They can recognize us as celebrities or mark us as terrorists. In this era of ubiquitous surveillance, contemporary data collection entails more than gathering information about us. Entities like Google, Facebook, and the NSA also decide what that information means, constructing our worlds and the identities we inhabit in the process. We have little control over who we algorithmically are. Our identities are made useful not for us—but for someone else. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities. We Are Data will educate and inspire readers who want to wrest back some freedom in our increasingly surveilled and algorithmically-constructed world. |
| apple data engineer interview: Data Mastery - SQL Lauren Glass, 2019-05-06 Are you working on an exciting data project? Preparing for a data interview? This book Data Mastery - SQL is a focused preparation guide--with brevity and efficiency in mind. You will learn SQL syntax quickly, practice, and continue to use this book as a reference.It is meant for beginning Data Scientists, Data Engineers, Data Analysts, or Business Intelligence Developers preparing for interviews, Software Engineers who want to analyze their creation's data, and last but not least Product Managers and Business Professionals who want to be data-driven. |
| apple data engineer interview: Effective Objective-C 2.0 Matt Galloway, 2013-05-17 Write Truly Great iOS and OS X Code with Objective-C 2.0! Effective Objective-C 2.0 will help you harness all of Objective-C’s expressive power to write OS X or iOS code that works superbly well in production environments. Using the concise, scenario-driven style pioneered in Scott Meyers’ best-selling Effective C++, Matt Galloway brings together 52 Objective-C best practices, tips, shortcuts, and realistic code examples that are available nowhere else. Through real-world examples, Galloway uncovers little-known Objective-C quirks, pitfalls, and intricacies that powerfully impact code behavior and performance. You’ll learn how to choose the most efficient and effective way to accomplish key tasks when multiple options exist, and how to write code that’s easier to understand, maintain, and improve. Galloway goes far beyond the core language, helping you integrate and leverage key Foundation framework classes and modern system libraries, such as Grand Central Dispatch. Coverage includes Optimizing interactions and relationships between Objective-C objects Mastering interface and API design: writing classes that feel “right at home” Using protocols and categories to write maintainable, bug-resistant code Avoiding memory leaks that can still occur even with Automatic Reference Counting (ARC) Writing modular, powerful code with Blocks and Grand Central Dispatch Leveraging differences between Objective-C protocols and multiple inheritance in other languages Improving code by more effectively using arrays, dictionaries, and sets Uncovering surprising power in the Cocoa and Cocoa Touch frameworks |
| apple data engineer interview: Programming Challenges Steven S Skiena, Miguel A. Revilla, 2006-04-18 There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available. |
| apple data engineer interview: Programming Interviews Exposed John Mongan, Noah Suojanen Kindler, Eric Giguère, 2011-08-10 The pressure is on during the interview process but with the right preparation, you can walk away with your dream job. This classic book uncovers what interviews are really like at America's top software and computer companies and provides you with the tools to succeed in any situation. The authors take you step-by-step through new problems and complex brainteasers they were asked during recent technical interviews. 50 interview scenarios are presented along with in-depth analysis of the possible solutions. The problem-solving process is clearly illustrated so you'll be able to easily apply what you've learned during crunch time. You'll also find expert tips on what questions to ask, how to approach a problem, and how to recover if you become stuck. All of this will help you ace the interview and get the job you want. What you will learn from this book Tips for effectively completing the job application Ways to prepare for the entire programming interview process How to find the kind of programming job that fits you best Strategies for choosing a solution and what your approach says about you How to improve your interviewing skills so that you can respond to any question or situation Techniques for solving knowledge-based problems, logic puzzles, and programming problems Who this book is for This book is for programmers and developers applying for jobs in the software industry or in IT departments of major corporations. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved. |
| apple data engineer interview: The Age of Surveillance Capitalism Shoshana Zuboff, 2019-01-15 The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called surveillance capitalism, and the quest by powerful corporations to predict and control our behavior. In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth. Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new behavioral futures markets, where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new means of behavioral modification. The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a Big Other operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled hive of total connection that seduces with promises of total certainty for maximum profit -- at the expense of democracy, freedom, and our human future. With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future -- if we let it. |
| apple data engineer interview: The Product Manager Interview Lewis C. Lin, 2017-11-06 NOTE: This is the NEWER 3rd edition for the book formerly titled PM Interview Questions. -- 164 Actual PM Interview Questions From the creator of the CIRCLES Method(TM), The Product Manager Interview is a resource you don't want to miss. The world's expert in product management interviews, Lewis C. Lin, gives readers 164 practice questions to gain product management (PM) proficiency and master the PM interview including: Google Facebook Amazon Uber Dropbox Microsoft Fully Solved Solutions The book contains fully solved solutions so readers can learn, improve and do their best at the PM interview. Here are questions and sample answers you'll find in the book: Product Design How would you design an ATM for elderly people? Should Google build a Comcast-like TV cable service? Instagram currently supports 3 to 15 second videos. We're considering supporting videos of unlimited length. How would you modify the UX to accommodate this? Pricing How would you go about pricing UberX or any other new Uber product? Let's say Google created a teleporting device: which market segments would you go after? How would you price it? Metrics Imagine you are the Amazon Web Services (AWS) PM in Sydney. What are the top three metrics you'd look at? Facebook users have declined 20 percent week over week. Diagnose the problem. How would you fix the issue? Ideal Complement to Decode and Conquer Many of you have read the PM interview frameworks revealed in Decode and Conquer, including the CIRCLES(TM), AARM(TM) and DIGS(TM) Methods. The Product Manager Interview is the perfect complement to Decode and Conquer. With over 160 practice questions, you'll see what the best PM interview responses look and feel like. Brand New Third Edition Many of the sample answers have been re-written from scratch. The sample answers are now stronger and easier to follow. In total, thousands of changes have made in this brand new third edition of the book. Preferred by the World's Top Universities Here's what students and staff have to say about the Lewis C. Lin: DUKE UNIVERSITY I was so touched by your presentation this morning. It was really helpful. UNIVERSITY OF MICHIGAN I can say your class is the best that I have ever attended. I will definitely use knowledge I learned today for future interviews. COLUMBIA UNIVERSITY I'd like to let you know that your workshop today is super awesome! It's the best workshop I have been to since I came to Columbia Business School. Thank you very much for the tips, frameworks, and the very clear and well-structured instruction! UNIVERSITY OF TEXAS AT AUSTIN I wanted to reiterate how much I enjoyed your workshops today. Thank you so much for taking time out and teaching us about these much-needed principles and frameworks. I actually plan to print out a few slides and paste them on my walls! CARNEGIE MELLON UNIVERSITY I'm a very big admirer of your work. We, at Tepper, follow your books like the Bible. As a former associate product manager, I was able to connect your concepts back to my work experience back and Pragmatic Marketing training. I'm really looking forward to apply your teachings. |
| apple data engineer interview: Cracking the PM Career Jackie Bavaro, Gayle Laakmann McDowell, 2022-04 Product management is a big role, and this is a big book. This comprehensive guide teaches new PMs and experienced PMs the skills, frameworks, and practices to become great product managers. ?Product skills: Drive better product decisions by conducting user research, performing data analysis, prototyping, writing product docs, and understanding technology.?Execution skills: Run your team well and deliver your projects quickly, smoothly, and effectively with project management, incremental development, launch processes, and good time management.?Strategic skills: Set a better direction for your team and optimize for long-term impact with vision, strategy, roadmapping, and team goals. Learn what it means to be more strategic.?Leadership skills: Lead more effectively by developing your personal mindset, collaboration, communication, inspiration, and mentorship skills.?People management: Learn leadership skills for managers, including coaching, recruiting, interviewing, and creating organizational structures.?Careers: Navigate your career by understanding the career ladder, setting goals, and translating your accomplishments into advancement. |
| apple data engineer interview: Spark in Action Jean-Georges Perrin, 2020-05-12 Summary The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark’s powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop. Foreword by Rob Thomas. About the technology Analyzing enterprise data starts by reading, filtering, and merging files and streams from many sources. The Spark data processing engine handles this varied volume like a champ, delivering speeds 100 times faster than Hadoop systems. Thanks to SQL support, an intuitive interface, and a straightforward multilanguage API, you can use Spark without learning a complex new ecosystem. About the book Spark in Action, Second Edition, teaches you to create end-to-end analytics applications. In this entirely new book, you’ll learn from interesting Java-based examples, including a complete data pipeline for processing NASA satellite data. And you’ll discover Java, Python, and Scala code samples hosted on GitHub that you can explore and adapt, plus appendixes that give you a cheat sheet for installing tools and understanding Spark-specific terms. What's inside Writing Spark applications in Java Spark application architecture Ingestion through files, databases, streaming, and Elasticsearch Querying distributed datasets with Spark SQL About the reader This book does not assume previous experience with Spark, Scala, or Hadoop. About the author Jean-Georges Perrin is an experienced data and software architect. He is France’s first IBM Champion and has been honored for 12 consecutive years. Table of Contents PART 1 - THE THEORY CRIPPLED BY AWESOME EXAMPLES 1 So, what is Spark, anyway? 2 Architecture and flow 3 The majestic role of the dataframe 4 Fundamentally lazy 5 Building a simple app for deployment 6 Deploying your simple app PART 2 - INGESTION 7 Ingestion from files 8 Ingestion from databases 9 Advanced ingestion: finding data sources and building your own 10 Ingestion through structured streaming PART 3 - TRANSFORMING YOUR DATA 11 Working with SQL 12 Transforming your data 13 Transforming entire documents 14 Extending transformations with user-defined functions 15 Aggregating your data PART 4 - GOING FURTHER 16 Cache and checkpoint: Enhancing Spark’s performances 17 Exporting data and building full data pipelines 18 Exploring deployment |
| apple data engineer interview: What Color is Your Parachute? Richard Nelson Bolles, 1972 |
| apple data engineer interview: How do you manage? etc Nathaniel Thomas Haynes BAYLY, 1859 |
| apple data engineer interview: A Philosophy of Software Design John K. Ousterhout, 2021 This book addresses the topic of software design: how to decompose complex software systems into modules (such as classes and methods) that can be implemented relatively independently. The book first introduces the fundamental problem in software design, which is managing complexity. It then discusses philosophical issues about how to approach the software design process and it presents a collection of design principles to apply during software design. The book also introduces a set of red flags that identify design problems. You can apply the ideas in this book to minimize the complexity of large software systems, so that you can write software more quickly and cheaply.--Amazon. |
| apple data engineer interview: A Common-Sense Guide to Data Structures and Algorithms, Second Edition Jay Wengrow, 2020-08-10 Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable. |
| apple data engineer interview: The Cult of Mac Leander Kahney, 2004-11 Describes the psyche of Macintosh fans and the subculture they have created. |
| apple data engineer interview: Cracking the Data Science Interview Maverick Lin, 2019-12-17 Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics. |
| apple data engineer interview: A Smart Guide for Your Career as a Software Engineer Mike Nikles, 2020-12-31 Do you want to earn a six figure income, work from anywhere, live a lifestyle of your choosing and be a part of the people who develop the next generation software applications? Are you a software engineer already, but want to change jobs or advance in your current role to get promoted? If that is you, congratulations! The bad news is that there are thousands of other people just like you with more starting that journey every day. Each one of them is a potential competitor when you look for your next job. They may even be your co-worker and friend who also want to get promoted! A Smart Guide for Your Career as a Software Engineer is exactly the book you want to read. You learn what it takes to stand out among the crowd, how to impress the interviewers and most importantly, how to be an employee that gets promoted because you add value and come across as professional, well organized and energized. The book is structured around the following topics: - Why become a software engineer? - How to become a software engineer? - Job search - Resume / Curriculum Vitae (CV) - Interviews - Offer negotiations - First day - First 100 days - Promotions - Teamwork - Leaving the company Read it cover to cover or jump to the topic that most applies to your current situation. Armed with the knowledge, advice, tips & tricks and templates in this book, your chances of getting that next job or being promoted rather than your co-worker are significantly higher than without reading this book. |
| apple data engineer interview: Data Structures & Algorithms in Swift (Fourth Edition) raywenderlich Tutorial Team, Vincent Ngo, Kelvin Lau, 2021-09-15 Learn Data Structures & Algorithms in Swift!Data structures and algorithms form the basis of computer programming and are the starting point for anyone looking to become a software engineer. Choosing the proper data structure and algorithm involves understanding the many details and trade-offs of using them, which can be time-consuming to learn - and confusing.This is where this book, Data Structures & Algorithms in Swift, comes to the rescue! In this book, you'll learn the nuts and bolts of how fundamental data structures and algorithms work by using easy-to-follow tutorials loaded with illustrations; you'll also learn by working in Swift playground code.Who This Book Is ForThis book is for developers who know the basics of Swift syntax and want a better theoretical understanding of what data structures and algorithms are to build more complex programs or ace a whiteboard interview.Topics Covered in Data Structures & Algorithms in Swift*Basic data structures and algorithms, including stacks, queues and linked lists. *How protocols can be used to generalize algorithms. *How to leverage the algorithms of the Swift standard library with your own data structures. *Trees, tries and graphs. *Building algorithms on top of other primitives. *A complete spectrum of sorting algorithms from simple to advanced. *How to think about algorithmic complexity. *Finding shortest paths, traversals, subgraphs and much more.After reading this book, you'll have a solid foundation on data structures and algorithms and be ready to solve more complex problems in your apps elegantly. |
| apple data engineer interview: Acing the System Design Interview Zhiyong Tan, 2024-02-13 The system design interview is one of the hardest challenges you’ll face in the software engineering hiring process. This practical book gives you the insights, the skills, and the hands-on practice you need to ace the toughest system design interview questions and land the job and salary you want. In Acing the System Design Interview you will master a structured and organized approach to present system design ideas like: Scaling applications to support heavy traffic Distributed transactions techniques to ensure data consistency Services for functional partitioning such as API gateway and service mesh Common API paradigms including REST, RPC, and GraphQL Caching strategies, including their tradeoffs Logging, monitoring, and alerting concepts that are critical in any system design Communication skills that demonstrate your engineering maturity Don’t be daunted by the complex, open-ended nature of system design interviews! In this in-depth guide, author Zhiyong Tan shares what he’s learned on both sides of the interview table. You’ll dive deep into the common technical topics that arise during interviews and learn how to apply them to mentally perfect different kinds of systems. Foreword by Anthony Asta, Michael D. Elder. About the technology The system design interview is daunting even for seasoned software engineers. Fortunately, with a little careful prep work you can turn those open-ended questions and whiteboard sessions into your competitive advantage! In this powerful book, Zhiyong Tan reveals practical interview techniques and insights about system design that have earned developers job offers from Amazon, Apple, ByteDance, PayPal, and Uber. About the book Acing the System Design Interview is a masterclass in how to confidently nail your next interview. Following these easy-to-remember techniques, you’ll learn to quickly assess a question, identify an advantageous approach, and then communicate your ideas clearly to an interviewer. As you work through this book, you’ll gain not only the skills to successfully interview, but also to do the actual work of great system design. What's inside Insights on scaling, transactions, logging, and more Practice questions for core system design concepts How to demonstrate your engineering maturity Great questions to ask your interviewer About the reader For software engineers, software architects, and engineering managers looking to advance their careers. About the author Zhiyong Tan is a manager at PayPal. He has worked at Uber, Teradata, and at small startups. Over the years, he has been in many system design interviews, on both sides of the table. The technical editor on this book was Mohit Kumar. Table of Contents PART 1 1 A walkthrough of system design concepts 2 A typical system design interview flow 3 Non-functional requirements 4 Scaling databases 5 Distributed transactions 6 Common services for functional partitioning PART 2 7 Design Craigslist 8 Design a rate-limiting service 9 Design a notification/alerting service 10 Design a database batch auditing service 11 Autocomplete/typeahead 12 Design Flickr 13 Design a Content Distribution Network (CDN) 14 Design a text messaging app 15 Design Airbnb 16 Design a news feed 17 Design a dashboard of top 10 products on Amazon by sales volume Appendix A Monoliths vs. microservices Appendix B OAuth 2.0 authorization and OpenID Connect authentication Appendix C C4 Model Appendix D Two-phase commit (2PC) |
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